Literature DB >> 31160421

Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis.

Aimée Bastidas-Ponce1,2,3,4, Sophie Tritschler1,5,6, Leander Dony5,6,7, Katharina Scheibner1,2,3,4, Marta Tarquis-Medina1,2,3,4, Ciro Salinno1,2,3,4, Silvia Schirge1,2,3, Ingo Burtscher1,2,3, Anika Böttcher1,2,3, Fabian J Theis8,9, Heiko Lickert10,2,3,4, Mostafa Bakhti10,2,3.   

Abstract

Deciphering mechanisms of endocrine cell induction, specification and lineage allocation in vivo will provide valuable insights into how the islets of Langerhans are generated. Currently, it is ill defined how endocrine progenitors segregate into different endocrine subtypes during development. Here, we generated a novel neurogenin 3 (Ngn3)-Venus fusion (NVF) reporter mouse line, that closely mirrors the transient endogenous Ngn3 protein expression. To define an in vivo roadmap of endocrinogenesis, we performed single cell RNA sequencing of 36,351 pancreatic epithelial and NVF+ cells during secondary transition. This allowed Ngn3 low endocrine progenitors, Ngn3 high endocrine precursors, Fev+ endocrine lineage and hormone+ endocrine subtypes to be distinguished and time-resolved, and molecular programs during the step-wise lineage restriction steps to be delineated. Strikingly, we identified 58 novel signature genes that show the same transient expression dynamics as Ngn3 in the 7260 profiled Ngn3-expressing cells. The differential expression of these genes in endocrine precursors associated with their cell-fate allocation towards distinct endocrine cell types. Thus, the generation of an accurately regulated NVF reporter allowed us to temporally resolve endocrine lineage development to provide a fine-grained single cell molecular profile of endocrinogenesis in vivo.
© 2019. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Endocrine cell allocation; Endocrine progenitor-precursor; Endocrinogenesis; Mouse; Neurog3; Single cell RNA sequencing

Year:  2019        PMID: 31160421     DOI: 10.1242/dev.173849

Source DB:  PubMed          Journal:  Development        ISSN: 0950-1991            Impact factor:   6.868


  33 in total

1.  TIPD: A Probability Distribution-Based Method for Trajectory Inference from Single-Cell RNA-Seq Data.

Authors:  Jiang Xie; Yiting Yin; Jiao Wang
Journal:  Interdiscip Sci       Date:  2021-06-09       Impact factor: 2.233

2.  Single-cell transcriptome and accessible chromatin dynamics during endocrine pancreas development.

Authors:  Eliza Duvall; Cecil M Benitez; Krissie Tellez; Martin Enge; Philip T Pauerstein; Lingyu Li; Songjoon Baek; Stephen R Quake; Jason P Smith; Nathan C Sheffield; Seung K Kim; H Efsun Arda
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-22       Impact factor: 12.779

3.  MichiGAN: sampling from disentangled representations of single-cell data using generative adversarial networks.

Authors:  Hengshi Yu; Joshua D Welch
Journal:  Genome Biol       Date:  2021-05-20       Impact factor: 13.583

Review 4.  Pancreatic β-cell heterogeneity in health and diabetes: classes, sources, and subtypes.

Authors:  Mario A Miranda; Juan F Macias-Velasco; Heather A Lawson
Journal:  Am J Physiol Endocrinol Metab       Date:  2021-02-15       Impact factor: 4.310

5.  Generalizing RNA velocity to transient cell states through dynamical modeling.

Authors:  Volker Bergen; Marius Lange; Stefan Peidli; F Alexander Wolf; Fabian J Theis
Journal:  Nat Biotechnol       Date:  2020-08-03       Impact factor: 54.908

6.  Single-Cell Transcriptomics Reveals a Conserved Metaplasia Program in Pancreatic Injury.

Authors:  Zhibo Ma; Nikki K Lytle; Bob Chen; Nidhi Jyotsana; Sammy Weiser Novak; Charles J Cho; Leah Caplan; Olivia Ben-Levy; Abigail C Neininger; Dylan T Burnette; Vincent Q Trinh; Marcus C B Tan; Emilee A Patterson; Rafael Arrojo E Drigo; Rajshekhar R Giraddi; Cynthia Ramos; Anna L Means; Ichiro Matsumoto; Uri Manor; Jason C Mills; James R Goldenring; Ken S Lau; Geoffrey M Wahl; Kathleen E DelGiorno
Journal:  Gastroenterology       Date:  2021-10-23       Impact factor: 22.682

7.  VeloViz: RNA velocity informed embeddings for visualizing cellular trajectories.

Authors:  Lyla Atta; Arpan Sahoo; Jean Fan
Journal:  Bioinformatics       Date:  2021-09-09       Impact factor: 6.931

Review 8.  Monogenic Diabetes Modeling: In Vitro Pancreatic Differentiation From Human Pluripotent Stem Cells Gains Momentum.

Authors:  Juan Ignacio Burgos; Ludovic Vallier; Santiago A Rodríguez-Seguí
Journal:  Front Endocrinol (Lausanne)       Date:  2021-07-06       Impact factor: 5.555

9.  A 3D system to model human pancreas development and its reference single-cell transcriptome atlas identify signaling pathways required for progenitor expansion.

Authors:  Carla A Gonçalves; Michael Larsen; Sascha Jung; Johannes Stratmann; Akiko Nakamura; Marit Leuschner; Lena Hersemann; Rashmiparvathi Keshara; Signe Perlman; Lene Lundvall; Lea Langhoff Thuesen; Kristine Juul Hare; Ido Amit; Anne Jørgensen; Yung Hae Kim; Antonio Del Sol; Anne Grapin-Botton
Journal:  Nat Commun       Date:  2021-05-25       Impact factor: 14.919

10.  NEUROD1 Is Required for the Early α and β Endocrine Differentiation in the Pancreas.

Authors:  Romana Bohuslavova; Ondrej Smolik; Jessica Malfatti; Zuzana Berkova; Zaneta Novakova; Frantisek Saudek; Gabriela Pavlinkova
Journal:  Int J Mol Sci       Date:  2021-06-23       Impact factor: 5.923

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